Triple

T11943300
Position Surface form Disambiguated ID Type / Status
Subject Walthamstow Central E284230 entity
Predicate hasStationCode P1289 FINISHED
Object WLC
WLC is the National Rail station code for Walthamstow Central railway station in London, England.
 E955191 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WLC | Statement: [Walthamstow Central, hasStationCode, WLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WLC
Context triple: [Walthamstow Central, hasStationCode, WLC]
  • A. WCL
    WCL is the commonly used abbreviation for the American University Washington College of Law, a prominent law school in Washington, D.C.
  • B. WLM
    WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
  • C. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • D. WLO
    WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
  • E. WLA
    WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WLC
Triple: [Walthamstow Central, hasStationCode, WLC]
Generated description
WLC is the National Rail station code for Walthamstow Central railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WLC
Target entity description: WLC is the National Rail station code for Walthamstow Central railway station in London, England.
  • A. WCL
    WCL is the commonly used abbreviation for the American University Washington College of Law, a prominent law school in Washington, D.C.
  • B. WLM
    WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
  • C. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • D. WLO
    WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
  • E. WLA
    WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9034444488190925a6fa6c856ed08 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440a5a9c8819086a94ad60c6881b8 completed May 1, 2026, 5:56 a.m.
NEDg Description generation batch_69f448fd4b908190a4f08619d346bec8 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b08da6c8190ae62d8e892bf1971 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.